Tsai-Ching Lu

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 22

Top Topics

Longitudinal Study

Subgraph Matching

Top Venues

Publications

Sasha Strelnikoff, Aruna Jammalamadaka, Tsai-Ching Lu
Causanom: Anomaly Detection With Flexible Causal Graphs. FLAIRS (2023)
Aruna Jammalamadaka, Lingyi Zhang, Joseph F. Comer, Sasha Strelnikoff, Ryan Mustari, Tsai-Ching Lu, Rajan Bhattacharyya
Semi-supervised Learning of Visual Causal Macrovariables. FLAIRS (2023)
Sasha Strelnikoff, Aruna Jammalamadaka, Tsai-Ching Lu
Semantic Causal Abstraction for Event Prediction. CD-MAKE (2022)
Kang-Yu Ni, Jiejun Xu, Shane Roach, Tsai-Ching Lu, Alexei Kopylov
Characterizing Disease Spreading via Visibility Graph Embedding. IEEE BigData (2021)
Aruna Jammalamadaka, Dana Warmsley, Tsai-Ching Lu
Causal Abstraction Via Emergence for Predicting Bilateral Trade. CAWS (2021)
Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong
CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. IEEE BigData (2020)
Alexei Kopylov, Jiejun Xu, Kang-Yu Ni, Shane Roach, Tsai-Ching Lu
Semantic Guided Filtering Strategy for Best-effort Subgraph Matching in Knowledge Graphs. IEEE BigData (2020)
David J. Huber, Samuel D. Johnson, Nigel Stepp, Aruna Jammalamadaka, Dana Warmsley, Tiffany Kim, Tsai-Ching Lu
MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. IEEE BigData (2019)
David J. Huber, Nigel Stepp, Aruna Jammalamadaka, Tiffany Kim, Sam Johnson, Dana Warmsley, Tsai-Ching Lu
MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. IEEE BigData (2019)
Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss
2018: Workshop on Graph Techniques for Adversarial Activity Analytics. WSDM (2018)
Mohammad Rostami, David J. Huber, Tsai-Ching Lu
A crowdsourcing triage algorithm for geopolitical event forecasting. RecSys (2018)
Dana Warmsley, Jiejun Xu, Tsai-Ching Lu
From Gamergate to FIFA: Identifying Polarized Groups in Online Social Media. IEEE BigData (2018)
Daniel Xie, Jiejun Xu, Tsai-Ching Lu
What's trending tomorrow, today: Using early adopters to discover popular posts on Tumblr. IEEE BigData (2017)
Laura Cruz-Albrecht, Jiejun Xu, Kang-Yu Ni, Tsai-Ching Lu
Characterizing Regional and Behavioral Device Variations Across the Twitter Timeline: A Longitudinal Study. WebSci (2017)
Jiejun Xu, Daniel Xie, Tsai-Ching Lu, John A. Cafeo
EDSV: Emerging Defect Surveillance for Vehicles. WebSci (2017)
Alex Waagen, Raissa M. D'Souza, Tsai-Ching Lu
Explosive Percolation on Directed Networks Due to Monotonic Flow of Activity. CoRR (2017)
Krishna C. Bathina, Aruna Jammalamadaka, Jiejun Xu, Tsai-Ching Lu
An Agent-Based Model of Posting Behavior During Times of Societal Unrest. SBP-BRiMS (2017)
Daniel Xie, Jiejun Xu, Tsai-Ching Lu
Automated classification of extremist Twitter accounts using content-based and network-based features. IEEE BigData (2016)
Jiejun Xu, Tsai-Ching Lu
Toward precise user-topic alignment in online social media. IEEE BigData (2015)
Jiejun Xu, Tsai-Ching Lu
Seeing the Big Picture from Microblogs: Harnessing Social Signals for Visual Event Summarization. IUI (2015)
Jiejun Xu, Tsai-Ching Lu
Inferring User Interests on Tumblr. SBP (2015)
Patrick S. Park, Ryan F. Compton, Tsai-Ching Lu
Network-Based Group Account Classification. SBP (2015)
Jiejun Xu, Ryan Compton, Tsai-Ching Lu, David Allen
Rolling through tumblr: characterizing behavioral patterns of the microblogging platform. WebSci (2014)
Jiejun Xu, Tsai-Ching Lu, Ryan Compton, David Allen
Civil Unrest Prediction: A Tumblr-Based Exploration. SBP (2014)
Kang-Yu Ni, Tsai-Ching Lu
Information dynamic spectrum characterizes system instability toward critical transitions. EPJ Data Sci. 3 (1) (2014)
Samuel D. Johnson, Tsai-Ching Lu
Algorithm Instance Games. CoRR (2014)
Ryan Compton, Craig Lee, Jiejun Xu, Luis Artieda-Moncada, Tsai-Ching Lu, Lalindra De Silva, Michael Macy
Using publicly visible social media to build detailed forecasts of civil unrest. Secur. Informatics 3 (1) (2014)
Jiejun Xu, Tsai-Ching Lu, Ryan Compton, David Allen
Quantifying cross-platform engagement through large-scale user alignment. WebSci (2014)
Changhe Yuan, Heejin Lim, Tsai-Ching Lu
Most Relevant Explanation in Bayesian Networks. CoRR (2014)
Pedro D. Manrique, Hong Qi, Ana Morgenstern, Nicolas Velasquez, Tsai-Ching Lu, Neil F. Johnson
Context matters: Improving the uses of big data for forecasting civil unrest: Emerging phenomena and big data. ISI (2013)
Ryan Compton, Craig Lee, Tsai-Ching Lu, Lalindra De Silva, Michael Macy
Detecting future social unrest in unprocessed Twitter data: "Emerging phenomena and big data". ISI (2013)
Veronika Strnadova, David Jurgens, Tsai-Ching Lu
Characterizing Online Discussions in Microblogs Using Network Analysis. AAAI Spring Symposium: Analyzing Microtext (2013)
Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong
Causal Mechanism-based Model Construction CoRR (2013)
Kang-Yu Ni, Tsai-Ching Lu
Information Dynamic Spectrum Predicts Critical Transitions. Complex (2012)
Sofia Apreleva, Neil F. Johnson, Tsai-Ching Lu
Progress Curves and the Prediction of Significant Market Events. Complex (2012)
Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel
Annealed MAP CoRR (2012)
Changhe Yuan, Xiaolu Liu, Tsai-Ching Lu, Heejin Lim
Most Relevant Explanation: Properties, Algorithms, and Evaluations CoRR (2012)
David Jurgens, Tsai-Ching Lu
Temporal Motifs Reveal the Dynamics of Editor Interactions in Wikipedia. ICWSM (2012)
Changhe Yuan, Heejin Lim, Tsai-Ching Lu
Most Relevant Explanation in Bayesian Networks. J. Artif. Intell. Res. 42 (2011)
Tsai-Ching Lu, Marek J. Druzdzel
Interactive construction of graphical decision models based on causal mechanisms. Eur. J. Oper. Res. 199 (3) (2009)
David Allen, Tsai-Ching Lu, David J. Huber
Detecting and analyzing relationships among anomalies. IEEE VAST (2009)
Changhe Yuan, Xiaolu Liu, Tsai-Ching Lu, Heejin Lim
Most Relevant Explanation: Properties, Algorithms, and Evaluations. UAI (2009)
Changhe Yuan, Tsai-Ching Lu
A General Framework for Generating Multivariate Explanations in Bayesian Networks. AAAI (2008)
Tsai-Ching Lu, K. Wojtek Przytula
System Diagnosability Analysis Using p-slop MAP. FLAIRS Conference (2007)
Tsai-Ching Lu, K. Wojtek Przytula
Focusing Strategies for Multiple Fault Diagnosis. FLAIRS Conference (2006)
Tsai-Ching Lu, Marek J. Druzdzel
Mechanism-based Causal Models for Adaptive Decision Support. AAAI Spring Symposium: Challenges to Decision Support in a Changing World (2005)
Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel
Annealed MAP. UAI (2004)
Tsai-Ching Lu, Marek J. Druzdzel
Causal Models, Value of Intervention, and Search for Opportunities. Probabilistic Graphical Models (2002)
Tsai-Ching Lu, Marek J. Druzdzel
Supporting Changes in Structure in Causal Model Construction. ECSQARU (2001)
Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong
Causal Mechanism-based Model Constructions. UAI (2000)